• Fisheries and Aquatic Sciences
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• 제22권11호
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• pp.24.1-24.7
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• 2019

Sporophylls from sea mustard, Undaria pinnatifida, which are by-products in seaweed production industries, were taken from Hansan Island, Tongyeong, and Gijang, Busan, and investigated for their fucoidan content and corresponding antioxidant activities. The extracted fucoidan yield from sporophylls of sea mustard samples from Tongyeong (TF) and Gijang (GF) were 12.1% and 13.6%, respectively. The antioxidant activities assessment of TF and GF extracts showed relative significant difference between samples, suggesting effect of location on bioactivities of fucoidan samples. GF was 50-68% more effective than TF against DPPH and superoxide radicals samples which may be attributed to the difference in their degree of sulfation and monosaccharide composition. Meanwhile, TF exhibited greater scavenging activity against hydroxyl radicals compared to GF which could be due to protein impurities.

• 한국수산과학회지
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• 제52권2호
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• pp.105-113
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• 2019

The objective of this study was to investigate Alaska pollock Theragra chalcogramma roe grade distribution among blocks and its nutritional components by grade. M grade roe was predominantly distributed in blocks labeled as L and M (52.1 and 82.8%, respectively), and S grade roe was mainly found in blocks labeled as S (98.6%). Products labeled as containing KB and KC grade roe contained 77.1 and 65.5% normal roe, respectively. Among the five roe grades (L, M, S, G, and Off), total amino acid content was higher in normal roe than in abnormal roe. The major amino acids found in normal roe were leucine, aspartic acid, and glutamic acid, whereas G and Off grade roe contained leucine and glutamic acid, but not aspartic acid. The calcium, phosphorus, potassium, and iron contents of the five roe grades were within the ranges 13.0-20.0, 314.4-392.0, 124.1-157.7, and 1.7-2.2 mg/100 g, respectively. The five roe grades contained total fatty acid contents of 765-1,252 mg/100 g, with no significant differences among grades. The major fatty acids were 16:0, 18:1n-9, 20:5n-3, and 22:6n-3.

• Journal of Microbiology and Biotechnology
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• 제27권10호
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• pp.1753-1762
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• 2017

Sea cucumber (Apostichopus japonicus) is a popular seafood source in Asia, including South Korea, and its consumption has recently increased with recognition of its medicinal properties. However, because raw sea cucumber contains various microbes, its ingestion can cause foodborne illness. Therefore, analysis of the microbiota in the whole body of sea cucumber can extend our understanding of foodborne illness caused by microorganisms and help to better manage products. We collected 40 sea cucumbers from four different sites in August and November, which are known as the maximum production areas in Korea. The microbiota was analyzed by an Illumina MiSeq system, and bacterial amounts were quantified by real-time PCR. The diversity and bacterial amounts in sea cucumber were higher in August than in November. Alpha-, Beta-, and Gammaproteobacteria were common dominant classes in all samples. However, the microbiota composition differed according to sampling time and site. Staphylococcus warneri and Propionibacterium acnes were commonly detected potential pathogens in August and November samples, respectively. The effect of experimental Vibrio parahaemolyticus infection on the indigenous microbiota of sea cucumber was analyzed at different temperatures, revealing clear alterations of Psychrobacter and Moraxella; thus, these shifts can be used as indicators for monitoring infection of sea cucumber. Although further studies are needed to clarify and understand the virulence and mechanisms of the identified pathogens of sea cucumber, our study provides a valuable reference for determining the potential of foodborne illness caused by sea cucumber ingestion and to develop monitoring strategies of products using microbiota information.

• 한국식품위생안전성학회지
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• 제11권4호
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• pp.277-285
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• 1996

Retrospective study on the comparison of outbreaks of food poisoning for food hygiene in Korea and Japan. The average value of morbidity rate by year in Korea during the period of 1971 to 1992 was 2.9 per 100,000 population, and that of Japan was 29.1. The mean value of mortality rates in case of food poisoning by year in Korea was 2.33%, and that of Japan was 0.07%. When compared the rates of morbidity and mortality between Korea and Japan during the same period, the morbidity rates of Japan were much higher than those of Korea (p<0.01). However, mortality rate of patients in Korea were much higher then those of Japan(p<0.01). Resulting from comparative observation of food poisoning by preparing facilities between Korea and Japan. The highest list the places where the outbreaks occurred was home-made foods accounted for 48.8% of the total cases in Korea and that of Japan was restaurants accounted for 33.0%. Causative foods in Korea, the most common incrimination vehicles were seafood, meat and animal products and grain and vegetables, including mushroom. However, in the case of the common incrimination vehicles Japan were unknown and other foods, seafood, vegetables and meat and animal products etc.. Food poisoning of pathogenic substance in Korea were 60.9% of bacterial food poisoning of the total cases showing that Vibrio species, Salmonella spp., Staphylococcus spp., pathogenic E. coli, Clostridium spp. and other spp. were 33.3%, 26.2%, 16.3%, 5.3%, 0.4% and 18.5%, respectively. On the other hand, in Japan, major causes were Vibrio spp. (45.7%), Staphylococcus spp. (23.7%), Salmonella spp. (16.8%), pathogenic E. coli (3.8%), Clostridium spp. (0.2%) and other spp. (9.6%).

• 스마트미디어저널
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• 제12권11호
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• pp.134-144
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• 2023

Nowadays, Deep Learning (DL) technology is being used in several government departments. South Korea imports a lot of seafood. If the demand for fishery products is not accurately predicted, then there will be a shortage of fishery products and the price of the fishery product may rise sharply. So, South Korea's Ministry of Ocean and Fisheries is attempting to accurately predict seafood imports using deep learning. This paper introduces the solution for the fish import prediction in South Korea using the Long Short-Term Memory (LSTM) method. It was found that there was a huge gap between the sum of consumption and export against the sum of production especially in the case of two species that are Hairtail and Pollock. An import prediction is suggested in this research to fill the gap with some advanced Deep Learning methods. This research focuses on import prediction using Machine Learning (ML) and Deep Learning methods to predict the import amount more precisely. For the prediction, two Deep Learning methods were chosen which are Artificial Neural Network (ANN) and Long Short-Term Memory (LSTM). Moreover, the Machine Learning method was also selected for the comparison between the DL and ML. Root Mean Square Error (RMSE) was selected for the error measurement which shows the difference between the predicted and actual values. The results obtained were compared with the average RMSE scores and in terms of percentage. It was found that the LSTM has the lowest RMSE score which showed the prediction with higher accuracy. Meanwhile, ML's RMSE score was higher which shows lower accuracy in prediction. Moreover, Google Trend Search data was used as a new feature to find its impact on prediction outcomes. It was found that it had a positive impact on results as the RMSE values were lowered, increasing the accuracy of the prediction.

• Fisheries and Aquatic Sciences
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• 제22권5호
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• pp.10.1-10.14
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• 2019

Fish skin waste accounts for part of the solid waste generated from seafood processing. Utilization of fish skin by bioconversion into high-grade products would potentially reduce pollution and economic cost associated with treating fish processing waste. Fish skin is an abundant supply of gelatin and collagen which can be hydrolyzed to produce bioactive peptides of 2-20 amino acid sequences. Bioactivity of peptides purified from fish skin includes a range of activities such as antihypertensive, anti-oxidative, antimicrobial, neuroprotection, antihyperglycemic, and anti-aging. Fish skin acts as a physical barrier and chemical barrier through antimicrobial peptide innate immune action and other functional peptides. Small peptides have been demonstrated to possess biological activities which are based on their amino acid composition and sequence. Fish skin-derived peptides contain a high content of hydrophobic amino acids which contribute to the antioxidant and angiotensin-converting enzyme inhibitory activity. The peptide-specific composition and sequence discussed in this review can be potentially utilized in the development of pharmaceutical and nutraceutical products.

• 한국식품위생안전성학회지
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• 제39권3호
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• pp.191-208
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• 2024

펩타이드형 독소인 마이크로시스틴(microcystins, MCs)과 노둘라린(nodularin, NOD)은 남조류라고도 알려진 시아노박테리아에 의해 생성되는 2차 대사산물로, 독소에 오염된 물, 토양 및 비료를 사용함으로써 농산물 내에 축적되고 이를 사람이 섭취함으로써 건강상 위해가 발생할 수 있다. 최근 MCs과 NOD의 농산물 내 오염에 대한 관심이 대두되며 국내외에서 여러 분석법을 기반으로 농산물 내 오염 수준을 조사하고 있다. 하지만 아직까지 수행된 연구가 많지 않으며, 특히 펩타이드형 독소 중 MCs의 분석 연구에 치중되어 있거나 오염 취약 지역에서 재배한 농산물이 주로 오염도 조사에 사용되는 등 연구에 한계가 있으므로 MCs과 NOD의 관리를 위해서는 보다 많은 체계적인 연구가 필요할 것으로 생각된다. 본 연구에서는 체계적인 모니터링 및 안전관리의 기반을 마련하기 위해 MCs 및 NOD의 이화학적 특성, 독성, 분석법, 오염사례 및 관리현황에 대해 기술하였다.

• Applied Biological Chemistry
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• 제41권1호
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• pp.67-72
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• 1998

수산가공 부산물을 식품소재와 같이 효율적으로 이용하기 위한 일련의 기초 연구로 6종의 어류뼈(대구뼈, 명태뼈, 각시가자미뼈, 민태뼈, 붕장어뼈 및 고등어뼈)에 대하여 식품 성분 특성을 검토하였다. 건물당 조단백질 함량, 콜라겐 함량 및 amino acid 조성비는 민태뼈가 각각 40.7%, 5.86% 및 189 잔기/1,000 잔기로 기타 어류뼈의 $28.8{\sim}38.8%$, $39.4{\sim}5.73%$ 및 $160{\sim}170$ 잔기/1,000 잔기 보다 높았으나, 가축뼈 콜라겐의 amino acid 조성비(204 잔기/1,000 잔기) 보다는 낮았다. 각시가자미뼈, 붕장어뼈 및 고등어뼈의 경우 건물당 조지방 함량은 $22.8{\sim}43.9%$이었고, 생리작용을 가지고 있는 EPA 및 DHA 등의 조성비는 $15.6{\sim}23.8%$로 오징어 내장의 그 성분들보다 낮았다. 어류뼈의 무기질은 대부분 칼슘$(37.1{\sim}38.6%)$및 인$(18.0{\sim}18.5%)$으로 구성되어 있었고, 이들의 함량은 대구뼈(38.1% 및 18.5%) 및 명태뼈(38.6%, 18.3%)가 다른 어류뼈는 물론이고, 가축뼈보다 많았다. 이상의 결과로 미루어 보아 콜라겐 또는 젤라틴 추출 소재로는 민태뼈가, 칼슘 추출소재로는 대구뼈 및 명태뼈가 적절 하였다.

• 한국수산과학회지
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• 제55권3호
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• pp.257-266
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• 2022

This study was conducted to prepare hamburg steak (HS), cooked rice with vegetables (CRV), and white stew (WS) using Pacific anchovies Engraulis japonicus with different physical and nutritional properties as senior-friendly seafoods (SFS) and investigate their quality characteristics. The hardness values of HS, CRV, and WS were 319.5×10³, 20.4×10³and 2.1×10³ N/m², respectively. The viscosity of the WS was 12,514 mPa·s. The nutritional properties of HS, CRV, and WS were 19.7, 6.2, and 7.5 g/100 g of protein, respectively; 12.50, 83.97, and 15.96 ㎍RAE/100 g vitamin A; 1.53, 1.51, and 0.35 ㎍/100 g vitamin D; 16.96, 2.82, and 4.13 mg/100 g vitamin C; 0.40, 0.07, and 0.19 mg/100 g riboflavin; 6.68, 0.34, and 2.30 mg NE/100 g niacin; 93.6, 35.4, and 82.1 mg/100 g Ca; 290.1, 103.9, and 158.6 mg/100 g K; and 0.11, 0.02, and 0.04 mg/100 g of dietary fiber. Escherichia coli was not detected in any of the products. These results suggest that HS be classified as step 1, CRV as step 2, and WS as step 3, according to the SFS standards of the KS. Overall, the nutritional and physical properties of the products were improved.

• Fisheries and Aquatic Sciences
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• 제17권2호
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• pp.167-173
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• 2014

Surimi (or fish paste) products are one of the most representative processed seafoods in Korea. In a previous study, we evaluated the potential use of rice flour as an agent to replace wheat flour in surimi products. In this study, we optimized the content of rice flour and water in surimi products using response surface methodology. Rice flour content ($X_1$, w/w) and water content ($X_2$, v/w) were chosen as independent variables and gel strength ($Y_1$) and overall acceptance ($Y_2$) as dependent variables. Optimal conditions of $X_1$ and $X_2$ were 14% and 9.1%, respectively, and the predicted values of the multiple response optimal conditions were $Y_1=656.4(g{\cdot}cm)$ and $Y_2=6.34$. Under optimal conditions, the experimental values of $Y_1$ and $Y_2$ were $647.8(g{\cdot}cm)$ and 6.21, respectively, which were similar to the predicted values. Surimi products that are prepared under optimum conditions were similar in gel strength to those of commercial products. However, its sensory evaluation score was higher than that of the commercial products. In conclusion, rice flour can not only be used as an alternative to wheat flour, but it also can be used to improve the quality of surimi products.